diff options
Diffstat (limited to 'resources/tools/presentation/generator_tables.py')
| -rw-r--r-- | resources/tools/presentation/generator_tables.py | 27 |
1 files changed, 16 insertions, 11 deletions
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py index 724519f2d1..0f0ed6c7a5 100644 --- a/resources/tools/presentation/generator_tables.py +++ b/resources/tools/presentation/generator_tables.py @@ -811,13 +811,17 @@ def table_performance_trending_dashboard(table, input_data): abs(rel_change_lst[index])): index = idx - logging.info("{}".format(name)) - logging.info("sample_lst: {} - {}".format(len(sample_lst), sample_lst)) - logging.info("median_lst: {} - {}".format(len(median_lst), median_lst)) - logging.info("rel_change: {} - {}".format(len(rel_change_lst), rel_change_lst)) - logging.info("classn_lst: {} - {}".format(len(classification_lst), classification_lst)) - logging.info("index: {}".format(index)) - logging.info("classifica: {}".format(classification)) + logging.debug("{}".format(name)) + logging.debug("sample_lst: {} - {}". + format(len(sample_lst), sample_lst)) + logging.debug("median_lst: {} - {}". + format(len(median_lst), median_lst)) + logging.debug("rel_change: {} - {}". + format(len(rel_change_lst), rel_change_lst)) + logging.debug("classn_lst: {} - {}". + format(len(classification_lst), classification_lst)) + logging.debug("index: {}".format(index)) + logging.debug("classifica: {}".format(classification)) try: trend = round(float(median_lst[-1]) / 1000000, 2) \ @@ -828,12 +832,12 @@ def table_performance_trending_dashboard(table, input_data): if rel_change_lst[index] is not None else '-' if not isnan(max_median): if not isnan(sample_lst[index]): - long_trend_threshold = max_median * \ - (table["long-trend-threshold"] / 100) + long_trend_threshold = \ + max_median * (table["long-trend-threshold"] / 100) if sample_lst[index] < long_trend_threshold: long_trend_classification = "failure" else: - long_trend_classification = '-' + long_trend_classification = 'normal' else: long_trend_classification = "failure" else: @@ -843,7 +847,8 @@ def table_performance_trending_dashboard(table, input_data): long_trend_classification, classification, '-' if classification == "normal" else sample, - '-' if classification == "normal" else rel_change, + '-' if classification == "normal" else + rel_change, nr_outliers]) except IndexError as err: logging.error("{}".format(err)) |